Design optimization of flux concentrators for magnetic tunnel junctions-based sensors

TL;DR

This paper presents a design optimization method for flux concentrators in magnetic tunnel junction sensors, balancing high magnetic gain and low noise to significantly enhance sensor performance.

Contribution

It introduces a combined simulation and analytical modeling approach to optimize flux concentrator design for improved sensitivity and noise reduction in magnetic sensors.

Findings

Achieved a three-orders-of-magnitude improvement in sensor detectivity.

Developed an analytical formula for flux concentrator gain based on magnetic reluctance.

Validated models through finite element simulations.

Abstract

Miniaturized, ultra-sensitive and easily integrable magnetometers are needed for many applications, like space exploration or health monitoring. Achieving this goal requires a magnetic sensor with high sensitivity and low noise. High sensitivity (>1000 %/mT) can be obtained by integrating high gain permalloy flux concentrators (FC). And reducing the magnetic 1/f noise can be realized by increasing the number of magnetic tunnel junctions (MTJs) in the air-gap of the FC. However, this is obtained at the expense of a wider air-gap and consequently a decrease of the magnetic gain and thus of the sensitivity. In this paper, we explore a design optimization scheme in order to find the best trade-off between high FC gain and low magnetic noise. To model the gain of the flux concentrator, we propose two complementary approaches; one is based on finite elements simulations of the FC gain where the influence of geometrical parameters of the air-gap is investigated. Then, in a second step, we propose an analytical formula consistent with all our simulations results and based on magnetic reluctance. Finally, we derive an analytical model of the sensor detectivity from which we can extract the optimal sensor design which allows an improvement by three orders of magnitude of the performances compared to a single junction.